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Related Experiment Video

Updated: Apr 1, 2026

Quantitative SERS Detection of Uric Acid via Formation of Precise Plasmonic Nanojunctions within Aggregates of Gold Nanoparticles and Cucurbit[n]uril
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A gold nanocluster-based sensor for sensitive uric acid detection.

Pingping Xu1, Ruiping Li1, Yifeng Tu1

  • 1The Key Lab of Health Chemistry and Molecular Diagnosis of Suzhou College of Chemistry, Chemical Engineering and Materials Science, Suzhou University, 199 Ren'ai Road, Industrial Park, Suzhou 215123, China.

Talanta
|October 11, 2015
PubMed
Summary

This study presents a novel sensor for detecting uric acid using gold nanoclusters. The sensor achieves high sensitivity and selectivity, enabling accurate detection in blood samples.

Keywords:
Fluorescence quenchingGold nanoclustersHydrogen peroxideIodideUrate oxidaseUric acid

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Nanotechnology

Background:

  • Uric acid is a key biomarker for various metabolic disorders.
  • Accurate and sensitive detection of uric acid is crucial for clinical diagnostics.
  • Existing detection methods may lack sensitivity or require complex procedures.

Purpose of the Study:

  • To develop a highly sensitive and selective sensor for uric acid detection.
  • To utilize gold nanoclusters and iodide enhancement for improved sensing performance.
  • To validate the sensor's applicability in analyzing real biological samples.

Main Methods:

  • Synthesis of gold nanoclusters templated by bovine serum albumin.
  • Fluorescence quenching mechanism involving urate oxidase and hydrogen peroxide.
  • Iodide-mediated enhancement of the fluorescence quenching effect.
  • Optimization of reaction conditions for maximum sensitivity and linearity.

Main Results:

  • The sensor demonstrated a linear response to uric acid in the range of 0.7–80 μM.
  • A low detection limit of 120 nM for uric acid was achieved.
  • The sensor showed high sensitivity and selectivity, with successful analysis of diluted blood samples.
  • Satisfactory recovery rates were obtained in blood sample analysis.

Conclusions:

  • The developed gold nanocluster-based sensor offers a sensitive and selective method for uric acid detection.
  • The iodide enhancement strategy significantly boosts sensor performance.
  • This sensor holds potential for practical clinical applications in diagnosing uric acid-related conditions.